Abstract
The oversupply of data, information and knowledge, even after preliminary keywords and topics search, is a well-known problem in R&D activities. One of the approaches aimed at limiting the negative impact of the surplus of information is its automated intelligent preprocessing and reuse. The paper describes a method for identification of the concepts which is based on combination of subject-driven document clustering, shape analysis, trends understanding and relevant context retrieval via semantic analysis. The goal is to extract potentially interesting knowledge from a set of documents based on analysis of graphical information and next to explain the mechanism of the studied process. The proposed method is implemented in the software suite which contains source searching tool, plot comparator and semantic analyzer. The method has been applied to identify the calculation process, using channel geometry characteristics, of the longitudinal dispersion coefficients for one branch of the Somes river in Romania.
| Original language | English |
|---|---|
| Pages (from-to) | 618-627 |
| Number of pages | 10 |
| Journal | Computers and Chemical Engineering |
| Volume | 33 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 20 2009 |
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All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications
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Mining of graphics for information and knowledge retrieval. / Avramenko, Yuri; Ani, Elisabeta Cristina; Kraslawski, Andrzej; Agachi, Paul Serban.
In: Computers and Chemical Engineering, Vol. 33, No. 3, 20.03.2009, p. 618-627.Research output: Contribution to journal › Article
TY - JOUR
T1 - Mining of graphics for information and knowledge retrieval
AU - Avramenko, Yuri
AU - Ani, Elisabeta Cristina
AU - Kraslawski, Andrzej
AU - Agachi, Paul Serban
PY - 2009/3/20
Y1 - 2009/3/20
N2 - The oversupply of data, information and knowledge, even after preliminary keywords and topics search, is a well-known problem in R&D activities. One of the approaches aimed at limiting the negative impact of the surplus of information is its automated intelligent preprocessing and reuse. The paper describes a method for identification of the concepts which is based on combination of subject-driven document clustering, shape analysis, trends understanding and relevant context retrieval via semantic analysis. The goal is to extract potentially interesting knowledge from a set of documents based on analysis of graphical information and next to explain the mechanism of the studied process. The proposed method is implemented in the software suite which contains source searching tool, plot comparator and semantic analyzer. The method has been applied to identify the calculation process, using channel geometry characteristics, of the longitudinal dispersion coefficients for one branch of the Somes river in Romania.
AB - The oversupply of data, information and knowledge, even after preliminary keywords and topics search, is a well-known problem in R&D activities. One of the approaches aimed at limiting the negative impact of the surplus of information is its automated intelligent preprocessing and reuse. The paper describes a method for identification of the concepts which is based on combination of subject-driven document clustering, shape analysis, trends understanding and relevant context retrieval via semantic analysis. The goal is to extract potentially interesting knowledge from a set of documents based on analysis of graphical information and next to explain the mechanism of the studied process. The proposed method is implemented in the software suite which contains source searching tool, plot comparator and semantic analyzer. The method has been applied to identify the calculation process, using channel geometry characteristics, of the longitudinal dispersion coefficients for one branch of the Somes river in Romania.
UR - http://www.scopus.com/inward/record.url?scp=58949088293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58949088293&partnerID=8YFLogxK
U2 - 10.1016/j.compchemeng.2008.10.023
DO - 10.1016/j.compchemeng.2008.10.023
M3 - Article
AN - SCOPUS:58949088293
VL - 33
SP - 618
EP - 627
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
SN - 0098-1354
IS - 3
ER -